Applications based on the compute-in-the-network (COIN) paradigm require flexible network telemetry data to drive effective allocation decisions. Telemetry systems collect such data based on queries specifying the precise traffic metrics or features required. Recent advances in programmable switch hardware have led to highly efficient methods to compute query results using in-network resources. However, current approaches fail to meet the simultaneous requirements of dynamic traffic loads, diverse query types, and query dynamics. In this work, we argue that telemetry systems should be cast as active runtime schedulers rather than static data sources. COIN-based applications can then dynamically submit telemetry queries on the fly and react to their results in a closed-loop fashion – enabling a new generation of telemetry-driven reactive applications. As a first step toward this vision, we present a single-switch telemetry operation scheduling method. Our empirical evaluation demonstrates that such a method can reduce overhead by an order of magnitude compared to worst case allocations. This initial exploration opens the door to a multi-tier scheduling framework combining switch hardware with software-based compute platforms to meet the telemetry demands of future COIN-based applications.

中文翻译：

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重新审视 COIN 中的网络遥测：运行时可编程性案例


基于网络计算 (COIN) 范例的应用程序需要灵活的网络遥测数据来推动有效的分配决策。遥测系统根据指定精确流量指标或所需功能的查询来收集此类数据。可编程交换机硬件的最新进展带来了使用网络内资源计算查询结果的高效方法。然而，当前的方法无法满足动态流量负载、多样化查询类型和查询动态的同时要求。在这项工作中，我们认为遥测系统应该被视为主动运行时调度程序而不是静态数据源。然后，基于 COIN 的应用程序可以即时动态提交遥测查询，并以闭环方式对其结果做出反应，从而实现新一代遥测驱动的反应式应用程序。作为实现这一愿景的第一步，我们提出了一种单交换机遥测操作调度方法。我们的实证评估表明，与最坏情况分配相比，这种方法可以将开销减少一个数量级。这一初步探索为多层调度框架打开了大门，该框架将交换机硬件与基于软件的计算平台相结合，以满足未来基于 COIN 的应用程序的遥测需求。